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Interactive optical 3D-touch user interface using a holographic light-field display and color information

OPTICS EXPRESS 2020年第24期28卷 36740-36755页

作者： Chavarria, Ivan A. Sanchez Salazar Nakamura, Tomoya Yamaguchi, Masahiro Tokyo Inst Technol Sch Engn Midori Ku 4259 Nagatsuta Yokohama Kanagawa 2268503 Japan Osaka Univ Inst Sci & Ind Res 8-1 Mihogaoka Ibaraki Osaka 5670047 Japan

We propose an interactive optical 3D-touch user interface (UI) by using a holographic light-field (LF) 3D display and a color detection system of the scattered light from the touched 3D image. In the proposed system, color information embedded in the LF is used to realize the 3D position identification and movement detection of the interaction point in 3D space only with a single RGB camera. We demonstrate the real-time interactive implementation of the interface working at 12 frames per second, which verifies the feasibility of our proposed concept. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Diffraction efficiency Heads up displays Holographic displays image processing algorithms Light fields Real time implementation

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Automatic production of synthetic labelled OCT images using an active shape model

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IET image processing 2020年第15期14卷 3812-3818页

作者： Danesh, Hajar Maghooli, Keivan Dehghani, Alireza Kafieh, Rahele Islamic Azad Univ Sci & Res Branch Dept Biomed Engn Tehran Iran Isfahan Univ Med Sci Med Image & Signal Proc Res Ctr Sch Adv Technol Med Esfahan Iran Isfahan Univ Med Sci Sch Med Dept Ophthalmol Esfahan Iran

Limited labelled data is a challenge in the field of medical imaging and the need for a large number of them is paramount for the training of machine learning algorithms, as well as measuring the performance of image processing algorithms. The purpose of this study is to construct synthetic and labelled optical coherence tomography (OCT) data to solve the problems of having access to accurately labelled data and evaluating the processing algorithms. In this study, a modified active shape model is used which considers the anatomical features of available images such as the number and thickness of the layers as well as their associated brightness, the location of retinal blood vessels and shadow information with respect to speckle noise. The algorithm is also able to provide different data sets with the varying noise level. The validity of the proposed method for the synthesis of retinal images is measured by two methods (qualitative assessment and quantitative analysis).

关键词： blood vessels biomedical optical imaging optical tomography image segmentation image processing medical image processing learning (artificial intelligence) eye speckle modified active shape model available images retinal blood vessels retinal images automatic production synthetic labelled OCT images medical imaging machine learning algorithms image processing algorithms synthetic coherence tomography labelled optical coherence tomography accurately labelled data

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Oblique astigmatism and field curvature measured with light-field imaging

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APPLIED OPTICS 2020年第31期59卷 9710-9714页

作者： Ferreira, Flavio P. Sousa, Marco A. Duarte, Moises A. S. Bret, Boris P. J. Nunes-Pereira, Eduardo J. Univ Minho Ctr Fis Univ Minho & Porto Campus Gualtar P-4710057 Braga Portugal Bosch Secur Syst Sistemas Seguranca SA Estr Nacl 109 IC 1 P-3880728 Aveiro Portugal Bosch Car Multimedia Portugal SA Rua Max Grunding 35 P-4705820 Braga Portugal Univ Minho Dept Fis Campus Gualtar P-4710057 Braga Portugal

The testing of astigmatism and field curvature of an optical system with light-field imaging is proposed. The method consists in measuring the depth map, obtained with a plenoptic camera, of the image of a test pattern formed by the optical system. To demonstrate the accuracy of the method, the virtual image formed by a piano-convex lens was tested. The resulting depth map was compared with the sagittal and tangential foci distances calculated with the Coddington theory. The proposed method could be applied to the quality testing of ocular optics, including eyeglasses, eyepieces, virtual reality goggles, and augmented reality devices. (C) 2020 Optical Society of America

关键词： Augmented reality image processing algorithms Optical aberrations Optical design Optical testing Virtual reality

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image-free real-time 3-D tracking of a fast-moving object using dual-pixel detection

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OPTICS LETTERS 2020年第17期45卷 4734-4737页

作者： Deng, Qiwen Zhang, Zibang Zhong, Jingang Jinan Univ Dept Optoelect Engn Guangzhou 510632 Peoples R China

Real-time 3-D tracking of a fast-moving object has found important applications in industry, traffic control, sports, biomedicine, defense, etc. However, it is difficult to adopt typical image-based object tracking systems in a fast-moving object tracking in real time and for a long duration, because reliable and robust image processing and analysis algorithms are often computationally exhausted, and limited storage and bandwidth can hardly fulfill the great demand of high-speed photography. Here we report an image-free 3-D tracking approach. The approach uses only two single-pixel detectors and a high-speed spatial light modulator for data acquisition. By illuminating the target moving object with six single-period Fourier basis patterns, the approach is able to analytically calculate the position of the object with the corresponding single-pixel measurements. The approach is low-cost, and data- and computation-efficient. We experimentally demonstrate that the proposed approach can detect and track a fast-moving object at a frame rate of 1666 frames per second by using a 10,000 Hz digital micromirror device. Benefiting from the wide working spectrum of single-pixel detectors, the reported approach might be applicable for hidden fast-moving object tracking. (C) 2020 Optical Society of America

关键词： Digital micromirror devices High speed photography image processing algorithms Spatial frequency Spatial light modulators Structured illumination microscopy

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How good is your metalens? Experimental verification of metalens performance criterion

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OPTICS LETTERS 2020年第14期45卷 3869-3872页

作者： Engelberg, Jacob Wildes, Talia Zhou, Chen Mazurski, Noa Bar-David, Jonathan Kristensen, Anders Levy, Uriel Hebrew Univ Jerusalem Ctr Nanosci & Nanotechnol Dept Appl Phys IL-91904 Jerusalem Israel Tech Univ Denmark Dept Hlth Technol DK-2800 Lyngby Denmark

A metric for evaluation of overall metalens performance is presented. It is applied to determination of optimal operating spectral range of a metalens, both theoretically and experimentally. This metric is quite general and can be applied to the design and evaluation of future metalenses, particularly achromatic metalenses. (C) 2020 Optical Society of America

关键词： Diffractive lenses image processing algorithms image quality Low light levels Optical design software Optical systems

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400 m rolling-shutter-based optical camera communications link

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OPTICS LETTERS 2020年第5期45卷 1059-1062页

作者： Eso, Elizabeth Teli, Shivani Hassan, Navid Bani Vitek, Stanislav Ghassemlooy, Zabih Zvanovec, Stanislav Northumbria Univ Newcastle Opt Commun Res Grp Newcastle Upon Tyne Tyne & Wear England Czech Tech Univ Fac Elect Engn Prague Czech Republic Univ Strathclyde Dept Phys Glasgow Lanark Scotland Chinese Acad Sci QIEM HI Quanzhou Peoples R China

In this Letter, we develop a novel technique, to the best of our knowledge, to increase the link span (L-s) of a rolling shutter (RS)-based optical camera communications (OCC) system by reducing the spatial bandwidth of the camera in the out-of-focus regions. We demonstrate a 400 m line-of-sight RS-based OCC link, which is to date the longest L-s reported in these systems, and develop a detection method to extract the information out of the video frames, successfully. The proposed system relaxes the condition of a large surface area for the transmitter light source. Consequently, we show that at 400 m L-s and exposure times of 100-80 mu s, a data rate of 450 bps is achieved successfully. (C) 2020 Optical Society of America

关键词： CMOS cameras Diode lasers image processing algorithms image quality Light sources Liquid crystal displays

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Parallel Fabry-Perot interferometers fabricated on multicore-fiber for temperature and strain discriminative sensing

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OPTICS EXPRESS 2020年第3期28卷 3190-3199页

作者： Zhang, Cong Fu, Songnian Tang, Ming Liu, Deming Huazhong Univ Sci & Technol Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Opt & Elect Informat Wuhan 430074 Peoples R China

We experimentally demonstrate parallel Fabry-Perot interferometers (FP's) fabrication in multicore-fiber with individually variable cavity length, for the purpose of discriminative sensing of temperature and strain. First, we theoretically find that, in order to obtain a small condition number of sensitivity matrix, it is necessary to fabricate parallel FPIs with large cavity difference in single multicore fiber. Then, parallel FPIs are inscribed by femtosecond laser selective micro-holes drilling on the seven-core fiber facet, together with fiber fusion splicing process. By the use of image processing algorithm, individual core position is precisely locked, and then parallel FPIs can be obtained on arbitrary two cores of seven-core fiber. With the location of parallel micro-holes and duration time of fiber fusion splicing adjusted, parallel FPIs with different cavity length of 26 mu m and 61 mu m can be simultaneously obtained at the central core and surrounding core, respectively. Consequently, each FPI possesses different sensitivity towards environmental temperature and strain. Finally, a proof-of-concept experiment verifies that relative measurement errors of both temperature and strain discriminative sensing are less than 0.5% and 2.5%, respectively. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Femtosecond fiber lasers Hollow core fibers image processing algorithms Multicore fibers Photonic crystal fibers Single mode fibers

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Temperature-compensated infrared-based low-cost mobile platform module for mass human temperature screening

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APPLIED OPTICS 2020年第17期59卷 E112-E117页

作者： Somboonkaew, Armote Vuttivong, Sirajit Prempree, Panintorn Amarit, Ratthasart Chanhorm, Sataporn Chaitavon, Kosom Porntheeraphat, Supanit Sumriddetchkajorn, Sarun Spectroscop & Sensing Devices Res Grp Photon Technol Res Team 112 Thailand Sci PkPhahonyothin RdKhlong 1 Khlong Luang 12120 Pathumthani Thailand Natl Sci & Technol Dev Agcy Natl Elect & Comp Technol Ctr 112 Thailand Sci PkPhahonyothin RdKhlong 1 Khlong Luang 12120 Pathumthani Thailand

As fast human temperature screening is needed in large public areas, this paper proposes a low-cost mobile platform module that combines the advantages of analyzing visible and thermal images. In particular, the key idea relies on face detection in the visible image. Then the coordinates of all faces detected are mapped on to the thermal image to determine their corresponding temperatures. Internal temperature compensation and external reference temperature also are employed to reduce the unwanted temperature fluctuation inside the module and in the surrounding environment. Our mobile platform module, called mu Therm, uses a FLIR ONE camera as our visible and thermal imaging cameras. It can simultaneously determine the temperatures of nine people at a speed of 8 frames/second. A field test operation was performed for four days with 1,170 people, with very promising results of 100% sensitivity, 92.6% specificity, and 92.7% accuracy. (C) 2020 Optical Society of America

关键词： Face recognition Flat panel displays Forward looking infrared image processing algorithms Temperature Thermal imaging

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Accurate stacked-sheet counting method based on deep learning

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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 2020年第7期37卷 1206-1218页

作者： Dieuthuy Pham Minhtuan Ha San, Cao Xiao, Changyan Hunan Univ Coll Elect & Informat Engn Changsha 410208 Peoples R China Saodo Univ Dept Elect Engn Hai Duong 170000 Vietnam

The accurate counting of laminated sheets, such as packing or printing sheets in industry, is extremely important because it greatly affects the economic cost. However, the different thicknesses, adhesion properties, and breakage points and the low contrast of sheets remain challenges to traditional counting methods based on image processing. This paper proposes a new stacked-sheet counting method with a deep learning approach using the U-Net architecture. A specific dataset according to the characteristics of stack side images is collected. The stripe of the center line of each sheet is used for semantic segmentation, and the complete side images of the slices are segmented via training with small image patches and testing with original large images. With this model, each pixel is classified by multi-layer convolution and deconvolution to determine whether it is the target object to be detected. After the model is trained, the test set is used to test the model, and a center region segmentation map based on the pixel points is obtained. By calculating the statistical median value of centerline points across different sections in these segmented images, the number of sheets can be obtained. Compared with traditional image algorithms in real product counting experiments, the proposed method can achieve better performance with higher accuracy and a lower error rate. (C) 2020 Optical Society of America

关键词： image processing image processing algorithms image quality Medical image processing Object detection Three dimensional imaging

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Deringing and denoising in extremely under-sampled Fourier single pixel imaging

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OPTICS EXPRESS 2020年第5期28卷 7360-7374页

作者： Rizvi, Saad Cao, Jie Zhang, Kaiyu Hao, Qun Beijing Inst Technol Sch Opt & Photon Key Lab Biomimet Robots & Syst Minist Educ Beijing 100081 Peoples R China

Undersampling in Fourier single pixel imaging (FSI) is often employed to reduce imaging time for real-time applications. However, the undersampled reconstruction contains ringing artifacts (Gibbs phenomenon) that occur because the high-frequency target information is not recorded. Furthermore, by employing 3-step FSI strategy (reduced measurements with low noise suppression) with a low-grade sensor (i.e., photodiode), this ringing is coupled with noise to produce unwanted artifacts, lowering image quality. To improve the imaging quality of real-time FSI, a fast image reconstruction framework based on deep convolutional autoencoder network (DCAN) is proposed. The network through context learning over FSI artifacts is capable of deringing, denoising, and recovering details in 256 x 256 images. The promising experimental results show that the proposed deep-learning-based FSI outperforms conventional FSI in terms of image quality even at very low sampling rates (1-4%). (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Digital micromirror devices image metrics image processing image processing algorithms image quality image reconstruction

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